Manfred Minimair

Research project
Resultant techniques for composed polynomials

Objectives
Efficient resultant-based algorithms and software for composed polynomials
Sponsors
  • National Science Foundation - Awards: CCF-0430741, REU Supplement 2005
  • Seton Hall University, South Orange, New Jersey, USA
Principal investigator
Manfred Minimair
Students
  • Jonathan Curran
  • Joey DiLauri
  • Daniell Dombrowski
  • Min Hur
  • Julio Macavilca
 
  • Michael Malenkov
  • Amy Mayberry
  • Min Shi
  • Sarah A. Smith
  •  
Collaborators
  • Arthur Chtcherba, University of Texas-Pan American, Edinburgh, TX, USA
  • Deepak Kapur, University of New Mexico, Albuquerque, NM, USA
Publications
Software
Macauly resultant with Maple
Dixon projection operator with Maple
Morley projection operator with Maple
Distributed computation of integer determinants with C++/MPI
Modular determinant and Macauly matrix construcion with Java
Determinants of modular Macauly matrices with C++/C/Assembler
Education
Taught undergraduate course sequence on topics in applied mathematics, with focus on symbolic-numeric computation, solving systems of polynomial equations, applications. Contact Manfred Minimair for more information.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
© Manfred Minimair